B
K-Drama Location Visit Route Designer
2.80
Derivation Chain
Step 1
Global popularity of Korean dramas
→
Step 2
Increasing Tourism demand for drama filming locations
→
Step 3
Automated optimal route & content design for location tour operators
Problem
Small Travel agencies (1-5 people) and Freelancer guides planning K-drama filming location tours manually collect location information from blogs and social media, relying on experience for route optimization and time allocation. It takes an average of 2-3 weeks to launch a filming location tour product after a new drama airs, during which 60% of demand dissipates.
Solution
Enter a drama title to auto-collect filming location data (location, scene, episode), then auto-design optimal visit routes (travel time, transportation, dining spots) via Naver Map/Kakao Map APIs. Provides scene screenshot matching for each filming location, draft guide scripts, and tour product landing page templates to reduce product launch time to within 3 days.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (70%)
Data Availability
20.4/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (52/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Data Pipeline [medium]
Backend [medium]
Frontend [low]